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train_2024-01-03-02-43-22
nbsts/train_2024-01-03-02-43-22
train_2024-01-03-02-43-22 is a machine learning model from nbsts. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024
- SHA
- 00160cb9
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
train_2024-01-03-02-43-22
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the anli_train_r1_contradiction dataset. It achieves the following results on the evaluation set:
- Loss: 1.0611
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0228 | 0.44 | 100 | 1.0888 |
| 1.0068 | 0.88 | 200 | 1.0738 |
| 1.0218 | 1.33 | 300 | 1.0680 |
| 1.084 | 1.77 | 400 | 1.0611 |
| 0.897 | 2.21 | 500 | 1.0757 |
| 0.9597 | 2.65 | 600 | 1.0745 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- other
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024